Game Theory
A comprehensive and practical course that provides a solid foundation in game theory for strategic decision-making.
What you will learn in Game Theory Course
- Fundamentals of Game Theory: Understand the mathematical modeling of strategic interaction among rational (and irrational) agents.
- Game Representation: Learn to represent games and strategies, including the extensive form (game trees) and normal form.
- Nash Equilibrium: Explore the concept of Nash Equilibrium and its applications in various strategic scenarios.
- Bayesian Games: Study games with incomplete information and how to model them using Bayesian methods.
- Repeated and Stochastic Games: Understand the dynamics of games played over time and those involving randomness.
Program Overview
Introduction to Game Theory
⏳ 17 hours
Overview of game theory concepts, including the importance of strategic decision-making in real-world applications.
Game Representation
⏳ 17 hours
Learn how to represent different types of games using normal and extensive forms, including analyzing payoffs and strategies.
Nash Equilibrium and Applications
⏳ 17 hours
Understand Nash Equilibrium and its significance in solving competitive situations, such as auctions, market behavior, and negotiation.
Bayesian Games
⏳ 17 hours
Dive into games with incomplete information and how Bayesian methods help solve these types of games.
Repeated Games and Stochastic Games
⏳ 17 hours
Study the dynamics of games played multiple times and games involving randomness, including strategies for cooperation and defection.
Final Project
⏳ 17 hours
Apply the learned concepts to real-world strategic decision-making problems, including negotiations, auctions, and market analysis.
Get certificate
Job Outlook
- Proficiency in Game Theory is valuable for roles such as:
Economist
Data Analyst
Policy Advisor
Strategic Consultant
- Skills acquired in this course are applicable across various industries, including finance, technology, and public policy.
- Completing this course can enhance your qualifications for positions that require strategic decision-making and analytical skills.
- Taught by experienced instructors from Stanford University.
- Hands-on assignments and real-world applications.
- Applicable to both academic and industry settings.
- Requires commitment to complete all modules for certification.
- Some advanced topics may require additional study beyond the course materials.
Specification: Game Theory
|
FAQs
- The course is designed for learners with basic algebra and logical reasoning skills.
- Prior knowledge of economics is helpful but not mandatory.
- Step-by-step explanations simplify mathematical models and strategic concepts.
- Practical examples illustrate applications without overwhelming technical detail.
- Teaches principles of strategy, competition, and cooperation.
- Applies game theory to business, politics, and everyday decision scenarios.
- Helps analyze outcomes in negotiations, market competition, and social interactions.
- Encourages critical thinking to make informed, strategic choices.
- Introduces basic models such as payoff matrices, Nash equilibrium, and zero-sum games.
- Focuses on conceptual understanding rather than complex proofs.
- Step-by-step examples demonstrate calculations and reasoning.
- Learners with high school-level math can comfortably follow most modules.
- Provides analytical frameworks useful in economics, business strategy, and finance.
- Strengthens skills in negotiation, decision-making, and risk assessment.
- Helps learners understand competitive and cooperative dynamics in organizations.
- Can complement other professional courses for career advancement.
- Uses real-world scenarios from economics, politics, sports, and social interactions.
- Demonstrates strategic thinking in market competition, auctions, and negotiations.
- Encourages learners to simulate games and predict outcomes.
- Provides a bridge between abstract theory and actionable decision-making.

